Applying LR cube analysis to JSteg detection

Kwangsoo Lee, Changho Jung, Sangjin Lee, HyungJun Kim, Jong In Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

JSteg is a steganographic method for JPEG images that can be viewed as LSB steganography. Recently, we proposed a new principle to detect the use of LSB steganography in digitized vector signals and showed how to apply it to gray-scale images. In this paper, we discuss how to apply it to JPEG images and show some experimental results for the JSteg-like algorithm.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages275-276
Number of pages2
Volume3677 LNCS
Publication statusPublished - 2005 Dec 1
Event9th IFIP TC-6 TC-11International Conference on Communications and Multimedia Security, CMS 2005 - Salzburg, Austria
Duration: 2005 Sep 192005 Sep 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3677 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th IFIP TC-6 TC-11International Conference on Communications and Multimedia Security, CMS 2005
CountryAustria
CitySalzburg
Period05/9/1905/9/21

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Lee, K., Jung, C., Lee, S., Kim, H., & Lim, J. I. (2005). Applying LR cube analysis to JSteg detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3677 LNCS, pp. 275-276). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3677 LNCS).